code: def test_read_json_engine_str(engine):
      with tmpfile("json") as f:
          df.to_json(f, lines=False)
          if isinstance(engine, str) and not PANDAS_GE_200:
              with pytest.raises(
                  ValueError, match="Pandas>=2.0 is required"
              ):
                  dd.read_json(f, engine=engine, lines=False)
          else:
              got = dd.read_json(f, engine=engine, lines=False)
              assert_eq(got, df)
  
imports: from __future__ import annotations
  import json
  import os
  import fsspec
  import pandas
  import pytest
  from packaging.version import Version
  import dask
  import dask.dataframe
  from dask.dataframe._compat import PANDAS_GE_200
  from dask.dataframe.utils import assert_eq
  from dask.utils import tmpdir, tmpfile
label_desc: Use image node_id 9 for calling a global function with example usage: test_read_json_engine_str(engine) without return types